https://github.com/paoche11/gungnir
공식 코드Gungnir: Exploiting Stylistic Features in Images for Backdoor Attacks on Diffusion Models
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Gungnir: Exploiting Stylistic Features in Images for Backdoor Attacks on Diffusion Models
CLIPstyler: Image Style Transfer with a Single Text Condition
Claim-Guided Textual Backdoor Attack for Practical Applications
Paperfetcher: A tool to automate handsearch for systematic reviews
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Latent Distillation for Continual Object Detection at the Edge
Tiny Robotics Dataset and Benchmark for Continual Object Detection
No Annotations for Object Detection in Art through Stable Diffusion
Non-Parallel Voice Conversion with Cyclic Variational Autoencoder
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RadarNeXt: Real-Time and Reliable 3D Object Detector Based On 4D mmWave Imaging Radar
Retina : Low-Power Eye Tracking with Event Camera and Spiking Hardware
On the representation and methodology for wide and short range head pose estimation
Open Vocabulary Object Detection with Proposal Mining and Prediction Equalization
A Theoretical and Practical Framework for Evaluating Uncertainty Calibration in Object Detection
Rethinking and Improving the Robustness of Image Style Transfer
Open Vocabulary Object Detection with Proposal Mining and Prediction Equalization
What You See is What You Get: Exploiting Visibility for 3D Object Detection
Conformer: Local Features Coupling Global Representations for Visual Recognition
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출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.